In today’s fast-paced life sciences space, the need for efficient and accurate data migration has never been greater. The frequent exchange of safety data, driven by numerous mergers and acquisitions, product portfolio realignments, and the growing trend of CRO outsourcing, necessitates a robust and reliable approach to data migration. Traditional manual methods often fall short in terms of efficiency and accuracy, making the adoption of AI-powered solutions increasingly essential.
The Limitations of Traditional Data Migration Methods
Manual data migration processes are often plagued by several significant challenges:
- Inconsistent Data Formats and Conventions: Different systems may use varied data formats and conventions, complicating the standardization process.
- Incomplete Source Data: Data from diverse sources can be incomplete, necessitating extensive cleaning and verification efforts.
- Labor-Intensive and Time-Consuming: Manual migration is inherently time-consuming, requiring substantial effort to handle large datasets.
- High Risk of Errors: The complexity and volume of data increase the likelihood of human errors during the migration process.
UltraMIG: Revolutionizing Data Migration with AI
To address these challenges, Ultragenic has introduced UltraMIG, an advanced automated data migration tool that leverages AI to enhance efficiency and accuracy. UltraMIG automates key aspects of the data migration process through its three core modules:
Data Extraction: Efficiently pulls data from various sources, ensuring comprehensive data capture.
E2B Data Migration: Streamlines the transfer of data in the E2B format, which is essential for pharmacovigilance.
DB Data Migration: Facilitates the accurate and efficient migration of database records.
Moreover, UltraMIG includes features such as E2B Profiling, Case Clean-up, E2B Comparison, and Tenant Management, further optimizing the migration process.
AI-Powered Benefits of UltraMIG
UltraMIG’s AI capabilities provide significant advantages over traditional manual methods, particularly in data validation and quality assessment:
- Automated PDF Form Comparisons: UltraMIG automates the comparison of PDF files, drastically reducing the manual effort involved. For instance, comparing 10 case forms manually by business testers might take around 50 hours, whereas UltraMIG can complete this task automatically and provide a summarized Excel report, reducing the verification time to just 4-5 hours.
- Automated Verification Queries: Developing and executing verification queries manually can take up to 4 weeks. UltraMIG’s automation reduces this time to just one week, ensuring quicker validation of migrated data.
- Automated Code Development: UltraMig tool uses GenAI for generating PLSQL code to perform Data Migration by utilizing client specific Business Logic/requirements from previous migrations. This helps is maintaining quality of Data Migration performed as well reduce Business Users time for Mappings review.
- Automated E2B Comparison: Manually comparing 100 E2B files could take approximately 200 hours. UltraMIG’s automated bulk comparisons and summarized results reduce this task to 3-4 working days (24-32 hours).
- Automated Data Mappings: UltraMIG offers automated data mappings based on client inputs, cutting down the business review time by 50%. Previous project mappings serve as inputs for new projects, eliminating repetitive reviews.
Embracing AI for Superior Data Migration
Incorporating AI into data migration processes significantly enhances efficiency and accuracy, allowing healthcare companies to focus on their core mission of improving patient outcomes.
UltraMIG by Ultragenic is a pioneering tool that harnesses the power of AI to revolutionize data migration, providing Pharma companies and CROs with a reliable and efficient solution. Embrace the future of data migration with UltraMIG and experience unparalleled efficiencies in data validation and quality assessment.
Discover how UltraMIG can transform your data migration process. Contact us today to learn more and take the first step towards a more efficient and accurate data migration strategy.
